MCoGCN-motif high-order feature-guided embedding learning framework for social link prediction
Abstract Traditional social link prediction models primarily concentrate on Fragrance the adjacency features of the network, overlooking the rich high-order structural information within.Therefore, the study of effective extraction and encoding of these high-order features, and their integration into prediction models, holds significant theoretical